John Lach

7.4k total citations · 2 hit papers
189 papers, 5.2k citations indexed

About

John Lach is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Hardware and Architecture. According to data from OpenAlex, John Lach has authored 189 papers receiving a total of 5.2k indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Electrical and Electronic Engineering, 60 papers in Biomedical Engineering and 56 papers in Hardware and Architecture. Recurrent topics in John Lach's work include Low-power high-performance VLSI design (30 papers), Parallel Computing and Optimization Techniques (29 papers) and Context-Aware Activity Recognition Systems (27 papers). John Lach is often cited by papers focused on Low-power high-performance VLSI design (30 papers), Parallel Computing and Optimization Techniques (29 papers) and Context-Aware Activity Recognition Systems (27 papers). John Lach collaborates with scholars based in United States, United Kingdom and Thailand. John Lach's co-authors include William H. Mangione-Smith, Miodrag Potkonjak, Adam T. Barth, Kevin Skadron, Mark Hanson, Mircea R. Stan, Harry Powell, Benton H. Calhoun, Jie Li and John A. Stankovic and has published in prestigious journals such as SHILAP Revista de lepidopterología, Proceedings of the IEEE and Medicine & Science in Sports & Exercise.

In The Last Decade

John Lach

181 papers receiving 4.9k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Body Area Sensor Networks: Challenges and Opportunities

2009 392 citations Mark Hanson, Adam T. Barth et al. profile →
Toward Pervasive Gait Analysis With Wearable Sensors: A Systematic Review

2016 310 citations John Lach et al. profile →

Peers

Countries citing papers authored by John Lach

Since Specialization

Citations

This map shows the geographic impact of John Lach's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by John Lach with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Lach more than expected).

Fields of papers citing papers by John Lach

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John Lach. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by John Lach. The network helps show where John Lach may publish in the future.

Co-authorship network of co-authors of John Lach

This figure shows the co-authorship network connecting the top 25 collaborators of John Lach. A scholar is included among the top collaborators of John Lach based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with John Lach. John Lach is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Deploying the Behavioral and Environmental Sensing and Intervention for Cancer Smart Health System to Support Patients and Family Caregivers in Managing Pain: Feasibility and Acceptability Study 2022 ·JMIR Cancer ·Virginia LeBaron, Ridwan Alam, (unknown), Leslie Blackhall, Kate Gordon, (unknown), (unknown), Randy Jones, (unknown), (unknown), (unknown), (unknown), (unknown), John Lach	14
2	Validity and Feasibility of the Monitoring and Modeling Family Eating Dynamics System to Automatically Detect In-field Family Eating Behavior: Observational Study 2021 ·JMIR mhealth and uhealth ·Brooke M. Bell, Ridwan Alam, (unknown), Meiyi Ma, (unknown), Sarah Masud Preum, Kayla de la Haye, John A. Stankovic, John Lach, Donna Spruijt‐Metz	7
3	Automatic, wearable-based, in-field eating detection approaches for public health research: a scoping review 2020 ·npj Digital Medicine ·Brooke M. Bell, Ridwan Alam, Nabil Alshurafa, Edison Thomaz, (unknown), Kayla de la Haye, John A. Stankovic, John Lach, Donna Spruijt‐Metz	78
4	A Graduate Curriculum in Cyber-Physical Systems 2020 ·IEEE Design and Test ·John A. Stankovic, Homa Alemzadeh, Bradford Campbell, John Lach, Lu Feng, Cody Fleming, Jonathan L. Goodall, (unknown), Daniel Quinn, (unknown), (unknown)	0
5	Extending Performance-Energy Trade-offs Via Dynamic Core Scaling 2020 ·IEEE Transactions on Computers ·Wei Zhang, Hang Zhang, John Lach	0
6	Sensing eating mimicry among family members 2019 ·Translational Behavioral Medicine ·Brooke M. Bell, Donna Spruijt‐Metz, (unknown), (unknown), Ridwan Alam, Meiyi Ma, (unknown), John Lach, John A. Stankovic, Kayla de la Haye	8
7	Leveraging Smart Health Technology to Empower Patients and Family Caregivers in Managing Cancer Pain: Protocol for a Feasibility Study 2019 ·SHILAP Revista de lepidopterología ·Virginia LeBaron, (unknown), Kate Gordon, Ridwan Alam, (unknown), (unknown), (unknown), (unknown), Randy Jones, Leslie Blackhall, John Lach	17
8	Remotely engaged: Lessons from remote monitoring in multiple sclerosis 2017 ·International Journal of Medical Informatics ·Matthew Engelhard, Stephen D. Patek, (unknown), John Lach, Myla Goldman	23
9	Distant Emotion Recognition 2017 ·Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies ·Asif Salekin, (unknown), Mohsin Y Ahmed, John Lach, (unknown), Kayla de la Haye, Brooke M. Bell, John A. Stankovic	9
10	Quantifying six-minute walk induced gait deterioration with inertial sensors in multiple sclerosis subjects 2016 ·Gait & Posture ·Matthew Engelhard, (unknown), Stephen D. Patek, John Lach, Myla Goldman	35
11	Deepmotion: a deep convolutional neural network on inertial body sensors for gait assessment in multiple sclerosis* 2016 ·Jiaqi Gong, Myla Goldman, John Lach	9
12	Self-powered wearable sensor platforms for wellness 2015 ·Veena Misra, (unknown), Shekhar Bhansali, John Lach, Suman Datta, Mehmet C. Öztürk, Alper Bozkurt, Ömer Oralkan, (unknown)	0
13	Toward Detection and Monitoring of Gait Pathology using Inertial Sensors under Rotation, Scale, and Offset Invariant Dynamic Time Warping 2015 ·EAI Endorsed Transactions on Pervasive Health and Technology ·Matthew Engelhard, (unknown), John Lach, Myla Goldman, Stephen D. Patek	8
14	Optimizing battery lifetime-fidelity tradeoffs in BSNs using personal activity profiles 2012 ·(unknown), Adam T. Barth, John Lach	2
15	Effects of Hemodialysis Therapy on Sit-to-Walk Characteristics in End Stage Renal Disease Patients 2012 ·Annals of Biomedical Engineering ·Rahul Soangra, Thurmon E. Lockhart, John Lach, Emaad M. Abdel‐Rahman	30
16	Exploring the fidelity-efficiency design space using imprecise arithmetic 2011 ·Asia and South Pacific Design Automation Conference ·Jiawei Huang, John Lach	21
17	Accurate, Fast Fall Detection Using Gyroscopes and Accelerometer-Derived Posture Information 2009 ·Qiang Li, John A. Stankovic, Mark Hanson, Adam T. Barth, John Lach, Gang Zhou	399
18	Proceedings of the 15th ACM Great Lakes symposium on VLSI 2005 ·John Lach, Gang Qu, Yehea Ismail	2
19	Proceedings of the 14th ACM Great Lakes symposium on VLSI 2004 ·David Garrett, John Lach, C. Zukowski	2
20	Synteza układów sekwencyjnych w strukturach FPGA z wbudowanymi blokami pamięci 2003 ·Przegląd Telekomunikacyjny + Wiadomości Telekomunikacyjne ·John Lach, (unknown), (unknown)	2

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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